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About the Program

Data Science is not just a buzzword, it is the backbone of innovation in the 21st century. From powering personalized recommendations on streaming platforms to enabling real-time fraud detection in banking, Data Science is transforming industries and redefining how businesses operate. It combines mathematics, statistics, programming, and business intelligence to uncover patterns, predict outcomes, and drive smarter decisions.

With the ever-growing volume of data generated every second, there is a huge demand for skilled data professionals who can make sense of this information and turn it into actionable insights. Our Data Science program is designed to bridge this gap by offering a market-relevant curriculum that includes data analysis, machine learning, visualization tools, and real-time project implementation. Learners gain hands-on experience with industry-standard tools like Python, Pandas, Scikit-learn, TensorFlow, and Power BI.

Whether you’re a beginner or a professional aiming to upskill, this program provides a structured path to mastering data science concepts and building a strong portfolio. With expert mentorship, real-world case studies, and personalized training, you'll be prepared to take on roles like Data Analyst, Machine Learning Engineer, Business Intelligence Developer, or Data Scientist. Embark on a career where your skills directly impact decision-making and innovation.

Program Overview

Live Online classes with lifetime recording

Session taken by industrial expert

24/7 Mentor Support

Placement support

Portfolio creation

Mock interview with HR

Resume analyze

Test series for practice

Market Overview

Data Scientist Salary in India

The average salary for a Data Scientist in India ranges from ₹10 to ₹23 Lakh Per Annum (LPA) according to Glassdoor.

Entry-Level

₹10L – ₹15L/yr

3 Years Experience

₹4.5L – ₹26L/yr

5 Years Experience

₹5.9L – ₹34L/yr

6 Years Experience

₹6.3L – ₹40L/yr

Senior Data Scientists

₹19L – ₹37L/yr

Lead Data Scientists

₹20L – ₹37L/yr
Data Science Market Overview
Data Science Program

Who Should Enroll?

Master data science with industry-relevant tools and techniques. Hover any card to see if this program is right for you.

Students & Recent Graduates

Great Start

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Students & Recent Graduates

  • Build a solid foundation in data science tools and techniques to enter the job market.

Working Professionals Looking to Upskill

Level Up

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Working Professionals Looking to Upskill

  • Transition into data science roles or enhance existing skills for more analytical responsibilities.

Career Changers

New Path

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Career Changers

  • Data science is interdisciplinary and applicable across industries with the right training, switching is possible.

Entrepreneurs & Startup Founders

Build Fast

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Entrepreneurs & Startup Founders

  • Gain insights on how to make data-driven business decisions, optimize operations, and identify new market opportunities.

Eligible Roles

35 career paths you unlock after this course

Data Analytics Job Roles

15 roles available

Data Analyst
Business Analyst
Data Visualization Specialist
Reporting Analyst
Quantitative Analyst
Marketing Analyst
Operations Analyst
Product Analyst
Financial Analyst
Customer Insights Analyst
Data Analytics Consultant
Risk Analyst
Fraud Analyst
Healthcare Data Analyst
Geospatial Data Analyst

Course Curriculum

Data Analytics

Topics: Types of Analytics, AI/ML Roles
Techniques: Dataset exploration
Tools: Excel, Google Sheets, Colab
Power Query – Excel
Formula & Pivot Table – Excel
Dashboard & Charts – Excel
VBA Macros Automation – Excel
Statistics
Permutation & Combination, Probability
Population and Sampling
Probability Distribution
Hypothesis Testing
Introduction to Tableau
Analyze & Process Data using Tableau
Creating Dashboards on Tableau
Introduction to Power BI
Dashboards on Power BI & PowerBI.com
Exploring Python Notebooks & Installing Libraries
Basic Python Programming for Data Analytics
Numerical Python (NumPy)
Pandas – Data Manipulation
Matplotlib – Data Visualization
Seaborn – Advanced Data Visualization
Kaggle – Dataset, Notebook & Competitions
MySQL Database
SQL with Python
NoSQL – MongoDB

Machine Learning

Topics: Differences, Real-World Use
Techniques: ML Workflow
Tools: Python
Advertisement Sale Prediction → Logistic Regression
Salary Estimation → K-Nearest Neighbor (KNN)
Character Recognition → Support Vector Machine (SVM)
Titanic Survival Prediction → Naive Bayes
Leaf Detection → Decision Tree Classifier
Handwritten Digit Recognition → Random Forest Classifier
Evaluating Classification Model Performance
Model Selection for Breast Cancer Classification Regression
House Price Prediction → Linear Regression (Single Variable)
Exam Mark Prediction → Linear Regression (Multiple Variables)
Previous Salary Prediction for New Employee → Polynomial Regression
Stock Price Prediction → Support Vector Regression
Height Prediction from Age → Decision Tree
Car Price Prediction → Random Forest Regression
Heart Disease Prediction → Naive Bayes (Classification)
Evaluating Regression Model Performance
Regression Model Selection for Engine Energy Prediction
Identifying Customer Spending Patterns → K-Means Clustering
Customer Spending Analysis → Hierarchical Clustering
Leaf Types Data Visualization → Principal Component Analysis (PCA)
Finding Similar Movies by Ranking → Singular Value Decomposition (SVD)
Market Basket Analysis → Apriori Algorithm
Web Ads Click-Through Rate Optimization → Upper Bound Confidence (UCB)
AI Snake Game → Reinforcement Learning
Sentiment Analysis → Natural Language Processing
Breast Cancer Tumor Prediction → XGBoost
Pima Indians Diabetes Classification → XGBoost / Classification Models
COVID-19 Detection → Convolutional Neural Network (CNN)

Deep Learning

Overview of the Course - Introduction to Artificial Intelligence & Its Applications
Hands-on - Creating Your Own Chatbot using DialogFlow
Introduction to Python - Exploring Python Platforms - Installing & Working with Python IDLE
Introduction to Computer Vision & Its Applications - Overview of CV Libraries & Installation - Basic Programs in CV
Moving Object Detection using OpenCV
Advanced Face Detection & Tracking
Object Tracking Based on Color with OpenCV
Face Recognition with OpenCV
Recognizing Emotions from Faces
Introduction to Deep Learning - Neurons & Activation Functions - Installing DL Libraries
Deep Learning Algorithms - Neural Network Design
Neural Network Design – Diabetes Prediction
Real-time Object Recognition using Pre-trained Models
Image Classification using Convolutional Neural Networks (CNN)
Hand Gesture Recognition with Deep Learning
Detecting Plant Leaf Diseases using Deep Learning
Character Recognition with CNN & PyQt5 GUI
Label Reading using Optical Character Recognition (OCR)
Attendance System with Face Recognition using DL & ML
Vehicle Detection & Tracking
License Plate Recognition System
Drowsiness Detection & Driver Safety
Road Sign Recognition for Autonomous Vehicles
NLP Essentials
Generating Titles from Text using NLP
Analyzing Speech & Emotions using CNN + NLP
Likely visualization - Introduction to Matplotlib Concepts

Master Tools Used in Top Companies

Learn the most in-demand tools used by industry professionals.

Excel

Excel

Google Sheets

Google Sheets

Colab

Colab

Tableau

Tableau

Power BI

Power BI

MySQL

MySQL

MongoDB

MongoDB

Python

Python

Numpy

Numpy

Excel

Excel

Google Sheets

Google Sheets

Colab

Colab

Tableau

Tableau

Power BI

Power BI

MySQL

MySQL

MongoDB

MongoDB

Python

Python

Numpy

Numpy

Pandas

Pandas

MatPlotlib

MatPlotlib

Seaborn

Seaborn

Scipy

Scipy

Scikit-learn

Scikit-learn

Statsmodels

Statsmodels

Jupyter Notebook

Jupyter Notebook

TensorFlow

TensorFlow

Keras

Keras

Pandas

Pandas

MatPlotlib

MatPlotlib

Seaborn

Seaborn

Scipy

Scipy

Scikit-learn

Scikit-learn

Statsmodels

Statsmodels

Jupyter Notebook

Jupyter Notebook

TensorFlow

TensorFlow

Keras

Keras

OpenCV

OpenCV

XGBoost

XGBoost

NLTK

NLTK

AI

AI

NLP

NLP

Machine Learning

Machine Learning

Deep Learning

Deep Learning

Computer Vision

Computer Vision

Supervised Learning

Supervised Learning

OpenCV

OpenCV

XGBoost

XGBoost

NLTK

NLTK

AI

AI

NLP

NLP

Machine Learning

Machine Learning

Deep Learning

Deep Learning

Computer Vision

Computer Vision

Supervised Learning

Supervised Learning

Sample Projects

Healthcare Predictive Analytics using Deep Learning

Real-Time Fraud Detection System

Autonomous Driving Behavior Prediction

Multi-Modal Emotion Recognition

Explainable AI System for Loan Approval

AI-Based Financial Portfolio Optimization

Resume Screening System

Learning Recommendation System

Fake Review Detection

Medical Image Diagnosis

Customer Churn Prediction

Sales Forecasting

Credit Card Fraud Detection

Stock Price Prediction

Sentiment Analysis

House Price Prediction

Email Spam Detection

Customer Segmentation

Fake News Detection

Employee Attrition Prediction

Movie Recommendation System

Energy Consumption Prediction

Traffic Flow Prediction

Disease Prediction

Healthcare Predictive Analytics using Deep Learning

Real-Time Fraud Detection System

Autonomous Driving Behavior Prediction

Multi-Modal Emotion Recognition

Explainable AI System for Loan Approval

AI-Based Financial Portfolio Optimization

Resume Screening System

Learning Recommendation System

Fake Review Detection

Medical Image Diagnosis

Customer Churn Prediction

Sales Forecasting

Credit Card Fraud Detection

Stock Price Prediction

Sentiment Analysis

House Price Prediction

Email Spam Detection

Customer Segmentation

Fake News Detection

Employee Attrition Prediction

Movie Recommendation System

Energy Consumption Prediction

Traffic Flow Prediction

Disease Prediction

Career Progression Plan

Transform your skills into a successful career with our proven learning and placement process.

Registration & ScreeningLive ClassesPractical ExperiencePlacement Support
Our Process

01. Registration and Screening Process

•Register with ₹5000 and attend the screening.

•If rejected, immediate refund of ₹5000.

•2 hrs demo class

•Assessment on classes

•360° resume analysis

02. Live Classes

•Join after selection by paying remaining fee.

•3 months (weekdays)

•5 months (weekends)

•Available in English or Tamil.

•Recordings + recruiter feedback included.

03. Practical Experience

•Minimum 10 real-world projects.

•Portfolio creation for showcasing skills.

•Mock interviews for job readiness.

04. Placement Support

•Placement assistance after course completion.

•Career guidance and job support.

•Continuous growth support.

Why Choose Our Program

Features
Our Program
Others
Industry-Ready Curriculum
✓
✕
Real-Time Live Projects
✓
✕
24/7 Expert Mentor Support
✓
✕
Modern Industry Tools
✓
✕
Portfolio That Gets You Hired
✓
✕
Placement-Focused Training
✓
✕
Mock Interviews with Industry Experts
✓
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Lifetime Access to Recordings
✓
✕
Practice Test Series
✓
✕
Instant Doubt Resolution
✓
✕
Regional Language Support
✓
✕

Simple & Transparent Pricing

No hidden costs. Pay only for what matters in your career journey.

Fee Breakdown

Registration Fee

Non-Refundable*

₹5,000

₹10,000

Register Now

Tuition Fee

After selection

₹35,000

₹45,000

Total Fee

Click to Pay Now

₹40,000

₹55,000

→

Terms & Conditions

  • Register with ₹5,000 (Non-Refundable)

  • Attend ZIA Initial Screening Process

  • Resume will be completely analyzed

  • Selected candidates join main classes

  • If we reject your profile in screening process, ₹5,000 is refundable.

  • Selected people will be moved to regular classes and enrich their journey with us.

Frequently Asked Questions

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